Bitext Blog

In an era of globalization, being multilingual is essential for business. Either for your e-commerce bot to understand international customers, or for your feedback management platform to get insights from every user, English is not enough.

While AI is one of the most important trends nowadays, there are still challenges to overcome. Apart from common technical issues such as a lack of quality data, there is much beyond its abilities for an AI to effectively understand and react when it comes to human-machine interaction.

Did you know that up to 80% of the data on the Internet is unstructured? All tweets, newspaper articles and any text-heavy information traveling on the network presents an unstructured form, not easily understandable for computers. A mere 20% of all web data is structured and, with only this, not much can be done for data analysis relying on machine learning.

Some call it human-in-the-loop, we also call it Super Intelligence. The interaction and synergy between humans and machines are crucial when talking about Artificial Intelligence. Bringing these two elements together will sow the seeds of a new era where the speed and efficiency of the machines will complement human critical-thinking capabilities resulting in higher levels of accuracy and better outcomes.

Due to the growing interest in AI among forward-looking companies, many CIOs are currently racking their brains to build an appropriate AI strategy plan in order to move closer towards their business objectives. Although there are plenty of solutions offered by AI vendors, enterprises are still missing information about what is coming. The following guide, based on a report from Gartner, will help you follow the best path in the field of Artificial Intelligence.